Correlation analysis of vowels and their application to speech recognition. - Partha Niyogi; Victor W. Zue (EUROSPEECH, 1991)

A Markov Language Learning Model for Finite Parameter Spaces. - Partha Niyogi; Robert C. Berwick (ACL, 1994)

Active Learning for Function Approximation. - Kah Kay Sung; Partha Niyogi (NIPS, 1994)

Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions. - Partha Niyogi (ICML, 1995)

A Note on Zipf's Law, Natural Languages, and Noncoding DNA regions. - Partha Niyogi; Robert C. Berwick (CoRR, 1995)

The informational complexity of learning from examples. - Partha Niyogi (1995)

On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions. - Partha Niyogi; Federico Girosi (Neural Comput., 1996)

A Dynamical Systems Model for Language Change. - Partha Niyogi; Robert C. Berwick (Complex Syst., 1997)

Comparing support vector machines with Gaussian kernels to radial basis function classifiers. - Bernhard Schölkopf; Kah Kay Sung; Christopher J. C. Burges; Federico Girosi; Partha Niyogi; Tomaso A. Poggio; Vladimir Vapnik (IEEE Trans. Signal Process., 1997)

The informational complexity of learning - perspectives on neural networks and generative grammar. - Partha Niyogi (Kluwer, 1998)

Incorporating voice onset time to improve letter recognition accuracies. - Partha Niyogi; Padma Ramesh (ICASSP, 1998)

A detection framework for locating phonetic events. - Partha Niyogi; Partha Mitra; Man Mohan Sondhi (ICSLP, 1998)

The voicing feature for stop consonants: acoustic phonetic analyses and automatic speech recognition experiments. - Padma Ramesh; Partha Niyogi (ICSLP, 1998)

Epsilon focusing–A strategy for active example selection. - Partha Niyogi; Kah Kay Sung (Knowl. Based Syst., 1998)

Incorporating prior information in machine learning by creating virtual examples. - Partha Niyogi; Federico Girosi; Tomaso A. Poggio (Proc. IEEE, 1998)

Feature based representation for audio-visual speech recognition. - Partha Niyogi; Eric Petajan; Jialin Zhong (AVSP, 1999)

Distinctive feature detection using support vector machines. - Partha Niyogi; Chris Burges; Padma Ramesh (ICASSP, 1999)

Generalization bounds for function approximation from scattered noisy data. - Partha Niyogi; Federico Girosi (Adv. Comput. Math., 1999)

Multiple classifiers by constrained minimization. - Partha Niyogi; Jean-Benoît Pierrot; Olivier Siohan (ICASSP, 2000)

An Approach to Data Reduction and Clustering with Theoretical Guarantees. - Partha Niyogi; Narendra Karmarkar (ICML, 2000)

Perspectives from the informational complexity of learning. - Partha Niyogi (ISCAS, 2000)

Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering. - Mikhail Belkin; Partha Niyogi (NIPS, 2001)

Using Manifold Stucture for Partially Labeled Classification. - Mikhail Belkin; Partha Niyogi (NIPS, 2002)

Almost-everywhere Algorithmic Stability and Generalization Error. - Samuel Kutin; Partha Niyogi (UAI, 2002)

Locality Preserving Projections. - Xiaofei He 001; Partha Niyogi (NIPS, 2003)

Measuring the Functional Load of Phonological Contrasts - Dinoj Surendran; Partha Niyogi (CoRR, 2003)

Laplacian Eigenmaps for Dimensionality Reduction and Data Representation. - Mikhail Belkin; Partha Niyogi (Neural Comput., 2003)

The voicing feature for stop consonants: recognition experiments with continuously spoken alphabets. - Partha Niyogi; Padma Ramesh (Speech Commun., 2003)

Regularization and Semi-supervised Learning on Large Graphs. - Mikhail Belkin; Irina Matveeva; Partha Niyogi (COLT, 2004)

Tikhonov regularization and semi-supervised learning on large graphs. - Mikhail Belkin; Irina Matveeva; Partha Niyogi (ICASSP (3), 2004)

Optimizing the mutual intelligibility of linguistic agents in a shared world. - Natalia L. Komarova; Partha Niyogi (Artif. Intell., 2004)

Semi-Supervised Learning on Riemannian Manifolds. - Mikhail Belkin; Partha Niyogi (Mach. Learn., 2004)

Feature selection in MLPs and SVMs based on maximum output information. - Vikas Sindhwani; Subrata Rakshit; Dipti Deodhare; Deniz Erdogmus; José Carlos Príncipe; Partha Niyogi (IEEE Trans. Neural Networks, 2004)

On Manifold Regularization. - Misha Belkin; Partha Niyogi; Vikas Sindhwani (AISTATS, 2005)

Stability and Generalization of Bipartite Ranking Algorithms. - Shivani Agarwal 001; Partha Niyogi (COLT, 2005)

Beyond the point cloud: from transductive to semi-supervised learning. - Vikas Sindhwani; Partha Niyogi; Mikhail Belkin (ICML, 2005)

Laplacian Score for Feature Selection. - Xiaofei He 001; Deng Cai 001; Partha Niyogi (NIPS, 2005)

Tensor Subspace Analysis. - Xiaofei He 001; Deng Cai 001; Partha Niyogi (NIPS, 2005)

Face Recognition Using Laplacianfaces. - Xiaofei He 001; Shuicheng Yan; Yuxiao Hu 001; Partha Niyogi; HongJiang Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

The Geometric Basis of Semi-Supervised Learning. - Vikas Sindhwani; Misha Belkin; Partha Niyogi (Semi-Supervised Learning, 2006)

Mercer's Theorem, Feature Maps, and Smoothing. - Ha Quang Minh; Partha Niyogi; Yuan Yao (COLT, 2006)

Intrinsic Fourier Analysis on the Manifold of Speech Sounds. - Aren Jansen; Partha Niyogi (ICASSP (1), 2006)

Robust acoustic-based syllable detection. - Zhimin Xie; Partha Niyogi (INTERSPEECH, 2006)

Convergence of Laplacian Eigenmaps. - Mikhail Belkin; Partha Niyogi (NIPS, 2006)

On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts. - Hariharan Narayanan; Mikhail Belkin; Partha Niyogi (NIPS, 2006)

Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization. - Sayan Mukherjee 001; Partha Niyogi; Tomaso A. Poggio; Ryan M. Rifkin (Adv. Comput. Math., 2006)

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples. - Mikhail Belkin; Partha Niyogi; Vikas Sindhwani (J. Mach. Learn. Res., 2006)

Semi-supervised learning of speech sounds. - Aren Jansen; Partha Niyogi (INTERSPEECH, 2007)

Sampling Hypersurfaces through Diffusion. - Hariharan Narayanan; Partha Niyogi (APPROX-RANDOM, 2008)

A hierarchical point process model for speech recognition. - Aren Jansen; Partha Niyogi (ICASSP, 2008)

Finding the Homology of Submanifolds with High Confidence from Random Samples. - Partha Niyogi; Stephen Smale; Shmuel Weinberger (Discret. Comput. Geom., 2008)

Towards a theoretical foundation for Laplacian-based manifold methods. - Mikhail Belkin; Partha Niyogi (J. Comput. Syst. Sci., 2008)

On the Sample Complexity of Learning Smooth Cuts on a Manifold. - Hariharan Narayanan; Partha Niyogi (COLT, 2009)

Robust keyword spotting with rapidly adapting point process models. - Aren Jansen; Partha Niyogi (INTERSPEECH, 2009)

Generalization Bounds for Ranking Algorithms via Algorithmic Stability. - Shivani Agarwal 001; Partha Niyogi (J. Mach. Learn. Res., 2009)

Point process models for event-based speech recognition. - Aren Jansen; Partha Niyogi (Speech Commun., 2009)

Multiview point cloud kernels for semisupervised learning [Lecture Notes]. - David S. Rosenberg; Vikas Sindhwani; Peter L. Bartlett; Partha Niyogi (IEEE Signal Process. Mag., 2009)

Point Process Models for Spotting Keywords in Continuous Speech. - Aren Jansen; Partha Niyogi (IEEE Trans. Speech Audio Process., 2009)

Combining Data and Mathematical Models of Language Change. - Morgan Sonderegger; Partha Niyogi (ACL, 2010)

Detection-based speech recognition with sparse point process models. - Aren Jansen; Partha Niyogi (ICASSP, 2010)

A Topological View of Unsupervised Learning from Noisy Data. - Partha Niyogi; Stephen Smale; Shmuel Weinberger (SIAM J. Comput., 2011)

Dimensionality Reduction via Subspace and Submanifold Learning [From the Guest Editors]. - Yi Ma 001; Partha Niyogi; Guillermo Sapiro; René Vidal (IEEE Signal Process. Mag., 2011)

Manifold regularization and semi-supervised learning: some theoretical analyses. - Partha Niyogi (J. Mach. Learn. Res., 2013)

Heat flow and a faster algorithm to compute the surface area of a convex body. - Mikhail Belkin; Hariharan Narayanan; Partha Niyogi (Random Struct. Algorithms, 2013)

Intrinsic Spectral Analysis. - Aren Jansen; Partha Niyogi (IEEE Trans. Signal Process., 2013)